Activity recognition apparatus, method and program

a technology of activity recognition and apparatus, applied in the direction of amplifier modification, electrical/magnetic measurement arrangement, navigation instruments, etc., can solve the problem of historically difficult to obtain accurate motion measurements with inertial sensors, and achieve the effect of more flexibility in implementation

Active Publication Date: 2008-09-02
SONY CORP
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0027]Accordingly, in view of the above-mentioned issues, it is desirable to perform activity recognition using inertial sensors without posing any preconditions on orientation of the inertial sensors relative to the subject's reference frame, thereby allowing more flexibility in implementing a system for the activity recognition.
[0033]According to the present invention, it is possible to perform activity recognition using inertial sensors without posing any preconditions on orientation of inertial sensors relative to the subject's reference frame, thereby allowing more flexibility in implementing a system for the activity recognition.

Problems solved by technology

However, obtaining accurate motion measurements with inertial sensors has historically proven to be quite difficult due to the sensitivity these sensors have to shock, temperature, electrical noise and so on.

Method used

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  • Activity recognition apparatus, method and program
  • Activity recognition apparatus, method and program
  • Activity recognition apparatus, method and program

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Embodiment Construction

[0044]Embodiments of the present invention are described with reference to accompanying figures.

[0045]FIG. 1 shows a configuration example of an activity recognition apparatus for determining an activity of a subject in accordance with an embodiment of the present invention. The apparatus includes a sensor unit 10 and a computational unit 20. The sensor unit 10 includes a plurality of linear motion sensors configured to detect linear motions and a plurality of rotational motion sensors, the linear motions being orthogonal to each other, the rotational motions being orthogonal to each other. The computational unit 20 is configured to receive and process signals from the sensors included in the sensor unit so as to output an activity of the subject. The sensor unit 10 is directly or indirectly supported by the subject with an arbitrary orientation with respect to the subject. The computational unit 20 performs a calculation that uses the signals from both linear motion sensors and rot...

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Abstract

There is provided an activity recognition apparatus for detecting an activity of a subject. The apparatus includes: a sensor unit including a plurality of linear motion sensors configured to detect linear motions and a plurality of rotational motion sensors, the linear motions being orthogonal to each other, the rotational motions being orthogonal to each other; and a computational unit configured to receive and process signals from the sensors included in the sensor unit so as to detect an activity of the subject. The sensor unit is directly or indirectly supported by the subject with an arbitrary orientation with respect to the subject. The computational unit performs a calculation that uses the signals from both linear motion sensors and rotational motion sensors to determine the activity of the subject independent of the orientation of the sensor unit.

Description

BACKGROUND OF THE INVENTION[0001]1. Field of the Invention[0002]The present invention relates to an apparatus, method, program and storage medium for activity recognition. More specifically, the present invention relates to an activity recognition apparatus, an activity recognition method, a program to cause a computer to perform such a method, a storage medium or memory storing such a program, and a signal coded to cause a computer to perform such a method.[0003]2. Description of Related Art[0004]Human activity classification has been attempted with cameras, microphones (Non-patent Document 5), inertial sensors (Non-patent Document 4), and goniometers. For each sensor or combination of sensors, researchers have also developed custom algorithms that to varying degrees can classify activity. Since one part of human activity classification is obtaining accurate measurements of human motion, the technology used overlaps with methods used for character animation, kinesiology and biomech...

Claims

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Application Information

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Patent Type & Authority Patents(United States)
IPC IPC(8): G06F19/00G06F17/40A61B5/11
CPCA61B5/061A61B5/1038A61B5/1118A61B5/1123G06K9/00348G01C21/16G01C22/006A61B2562/0219A61B5/7264G06F2218/12G01C21/183G06V40/25
Inventor CLARKSON, BRIAN
Owner SONY CORP
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